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Institution

Washington State University

EducationPullman, Washington, United States
About: Washington State University is a education organization based out in Pullman, Washington, United States. It is known for research contribution in the topics: Population & Gene. The organization has 26947 authors who have published 57736 publications receiving 2341509 citations. The organization is also known as: WSU & Wazzu.


Papers
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Journal ArticleDOI
TL;DR: Une reanalyse factorielle des donnees de Spector (1987) met a l'epreuve la validite de sa conclusion critique par rapport a la realite des variances des methodes dans un type de recherche sur les organisations.
Abstract: Une reanalyse factorielle des donnees de Spector (1987) met a l'epreuve la validite de sa conclusion critique par rapport a la realite des variances des methodes dans un type de recherche sur les organisations

1,345 citations

Journal ArticleDOI
08 Jul 2016-Science
TL;DR: Performing synthesis at high temperatures ensures that only the most stable binding sites are occupied, yielding a sinter-resistant, atomically dispersed catalyst.
Abstract: Catalysts based on single atoms of scarce precious metals can lead to more efficient use through enhanced reactivity and selectivity. However, single atoms on catalyst supports can be mobile and aggregate into nanoparticles when heated at elevated temperatures. High temperatures are detrimental to catalyst performance unless these mobile atoms can be trapped. We used ceria powders having similar surface areas but different exposed surface facets. When mixed with a platinum/aluminum oxide catalyst and aged in air at 800°C, the platinum transferred to the ceria and was trapped. Polyhedral ceria and nanorods were more effective than ceria cubes at anchoring the platinum. Performing synthesis at high temperatures ensures that only the most stable binding sites are occupied, yielding a sinter-resistant, atomically dispersed catalyst.

1,317 citations

Journal ArticleDOI
TL;DR: A new web-based tool for the prediction of protein phosphorylation sites, DISPHOS (DISorder-enhanced PHOSphorylation predictor, http://www.ist. edu/DISPHOS), which observes that amino acid compositions, sequence complexity, hydrophobicity, charge and other sequence attributes of regions adjacent to phosphate sites are very similar to those of intrinsically disordered protein regions.
Abstract: Reversible protein phosphorylation provides a major regulatory mechanism in eukaryotic cells. Due to the high variability of amino acid residues flanking a relatively limited number of experimentally identified phosphorylation sites, reliable prediction of such sites still remains an important issue. Here we report the development of a new web-based tool for the prediction of protein phosphorylation sites, DISPHOS (DISorder-enhanced PHOSphorylation predictor, http://www.ist.temple. edu/DISPHOS). We observed that amino acid compositions, sequence complexity, hydrophobicity, charge and other sequence attributes of regions adjacent to phosphorylation sites are very similar to those of intrinsically disordered protein regions. Thus, DISPHOS uses position-specific amino acid frequencies and disorder information to improve the discrimination between phosphorylation and non-phosphorylation sites. Based on the estimates of phosphorylation rates in various protein categories, the outputs of DISPHOS are adjusted in order to reduce the total number of misclassified residues. When tested on an equal number of phosphorylated and non-phosphorylated residues, the accuracy of DISPHOS reaches 76% for serine, 81% for threonine and 83% for tyrosine. The significant enrichment in disorder-promoting residues surrounding phosphorylation sites together with the results obtained by applying DISPHOS to various protein functional classes and proteomes, provide strong support for the hypothesis that protein phosphorylation predominantly occurs within intrinsically disordered protein regions.

1,307 citations

Journal ArticleDOI
TL;DR: The presence of methyl jasmonate in the atmosphere of chambers containing plants from three species of two families, Solanaceae and Fabaceae, results in the accumulation of proteinase inhibitors in leaves of all three species, demonstrating that interplant communication can occur from leaves of one species of plant to leaves of another species to activate the expression of defensive genes.
Abstract: Inducible defensive responses in plants are known to be activated locally and systemically by signaling molecules that are produced at sites of pathogen or insect attacks, but only one chemical signal, ethylene, is known to travel through the atmosphere to activate plant defensive genes. Methyl jasmonate, a common plant secondary compound, when applied to surfaces of tomato plants, induces the synthesis of defensive proteinase inhibitor proteins in the treated plants and in nearby plants as well. The presence of methyl jasmonate in the atmosphere of chambers containing plants from three species of two families, Solanaceae and Fabaceae, results in the accumulation of proteinase inhibitors in leaves of all three species. When sagebrush, Artemisia tridentata, a plant shown to possess methyl jasmonate in leaf surface structures, is incubated in chambers with tomato plants, proteinase inhibitor accumulation is induced in the tomato leaves, demonstrating that interplant communication can occur from leaves of one species of plant to leaves of another species to activate the expression of defensive genes.

1,299 citations

Journal ArticleDOI
TL;DR: A phylogenetic analysis of a combined data set for 560 angiosperms and seven outgroups based on three genes, 18S rDNA, rbcL, and atpB representing a total of 4733 bp is presented, resulting in the most highly resolved and strongly supported topology yet obtained for angiosPerms.

1,288 citations


Authors

Showing all 27183 results

NameH-indexPapersCitations
Anil K. Jain1831016192151
Martin Karplus163831138492
Herbert A. Simon157745194597
Suvadeep Bose154960129071
Rajesh Kumar1494439140830
Kevin Murphy146728120475
Jonathan D. G. Jones12941780908
Douglas E. Soltis12761267161
Peter W. Kalivas12342852445
Chris Somerville12228445742
Pamela S. Soltis12054361080
Yuehe Lin11864155399
Howard I. Maibach116182160765
Jizhong Zhou11576648708
Farshid Guilak11048041327
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202398
2022344
20212,786
20202,783
20192,691
20182,370